Language

How is Python Different from Other Programming Languages

Python is one of the popular high-level programming languages used in an extensive variety of application domains.

The language was created by a Dutch programmer known as Guido van Rossum and initially released in 1991.

DevZero, a U.S.-based Python expert who has spent most of his years teaching people his skills, says that “Python is usually compared to other programming languages, especially because of its distinct features and efficient design philosophy.”

In this article, I’m going to attempt to illustrate how Python is different from the other programming languages.

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  1. Python is fun to use

Contrary to what most people believe, the Python programming language is not named after the nonvenomous snake called Python.

Its named after the British surreal comedy group in the 1970s called Monty Python, which van Rossum loved following their plays.

British surreal comedy group in the 1970s called Monty Python

The Monty Python Comedy Group

The comedy group’s ideals are integrated into Python code and culture. Particularly, to make the language fun to use, users of the language (called Pythonists, Pythonistas, or Pythoneers) usually avoid unnecessary complexities.

For example, Pythonistas use lesser syntactic exceptions and special cases than programmers in other languages like C or Pascal.

Furthermore, the language occasionally employs playful references in its documentation materials; for example, the metasyntactic variables are called spam and eggs in place of the traditional foo and bar.

  1. Python focuses on code simplicity and readability

Python’s syntax and semantics emphasize on code simplicity and readability. The language’s design is largely influenced by a group of 20 principles called the Zen of Python.

Here are some of the principles:

  • Beautiful is better than ugly
  • Simple is better than complex
  • Complex is better than complicated
  • Readability counts
  • In the face of ambiguity, refuse the temptation to guess
  • There should be one—and preferably only one—obvious way to do it
  • If the implementation is hard to explain, it’s a bad idea

Python is intended to be a language that is easy to read. A well formatted Python code is clean and uncluttered.

It usually utilizes English keywords where other programming languages utilizes punctuations.

Unlike most other programming languages, Python does not utilize curly brackets for delimiting code blocks; instead, it utilizes whitespace indentation. Furthermore, placing semicolons after statements are not necessary.

For example, here is a code snippet in Java:

Here is the output:

Here is the same code snippet written in Python:

Here is another code snippet in C++:

Here is the output:

 

Here is the same code snippet written in Python:

  1. Python is highly extensible

Instead of designing Python with all the functionalities on its core, the programming language was meant to be very extensible.

This feature has made the language highly popular when programmable interfaces are required to be incorporated into existing applications.

Van Rossum envisioned a language having a small core with extensive support libraries that can enhance its capabilities.

He wanted to move away from the frustrations he experienced while using the ABC programming language, which does not espouse the same values.

There is a wide variety of Python libraries for completing various tasks, including performing scientific calculations, machine learning, unit testing, graphical user interfaces, and managing databases—anything you like to complete easily, you’d probably find a library for it.

For example, if you want to achieve fast performance in a low-level computing environment, you can migrate time-sensitive operations to extension modules built using the Python programming language such as PyPy and Cython.

The other programming languages do not boast of rich support libraries as Python does.

  1. Python is growing fast

Stack Overflow recently recognized the language as the fastest-growing major programming language.

Here is a Stack Overflow chart that shows how Python has experienced impressive growth as compared to the other languages:

Stack Overflow chart that shows how Python growth

Furthermore, the IEEE Spectrum ranks Python as the top language for 2018, for the second consecutive year.

the IEEE Spectrum

Python’s fast growth is largely attributed to its enticing features, which are absent in other programming languages.

Particularly, its simple and easy to use syntax makes it attractive to first-time developers.

Also, Python’s reliability and efficiency have won the love of professionals working in the rapid growing technology fields like machine learning and data science.

Wrapping up

Python is a versatile programing language that is clearly in its own world. The unique qualities of the language are what set it apart from the rest of the pack.

Nonetheless, besides its advantages, Python is still not a perfect programming language.

For example, Python is regarded to be a weak language for mobile computing.

What other Python vs. other languages differences do you know of?

Why can you choose Python over the other programming languages?

Please share your comments below.

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About author

I, Dr. Michael J. Garbade is the co-founder of the Education Ecosystem (aka LiveEdu), ex-Amazon, GE, Rebate Networks, Y-combinator. Python, Django, and DevOps Engineer. Serial Entrepreneur. Experienced in raising venture funding. I speak English and German as mother tongues. I have a Masters in Business Administration and Physics, and a Ph.D. in Venture Capital Financing. Currently, I am the Project Lead on the community project -Nationalcoronalvirus Hotline I write subject matter expert technical and business articles in leading blogs like Opensource.com, Dzone.com, Cybrary, Businessinsider, Entrepreneur.com, TechinAsia, Coindesk, and Cointelegraph. I am a frequent speaker and panelist at tech and blockchain conferences around the globe. I serve as a start-up mentor at Axel Springer Accelerator, NY Edtech Accelerator, Seedstars, and Learnlaunch Accelerator. I love hackathons and often serve as a technical judge on hackathon panels.